| Literature DB >> 35538476 |
Harriet Affran Bonful1, Adolphina Addoley Addo-Lartey2, Ransford Selasi Sefenu1, Adanna Nwameme3, Timothy Agandah Abagre1, Adolf Kofi Awua4, Nii Armah Adu-Aryee5, Florence Dedey5, Richard Mawuena Kofi Adanu6, Kolawole Stephen Okuyemi7.
Abstract
BACKGROUND: There has been extensive research across the globe to understand the barriers and facilitators of cervical cancer (CC) screening. However, few studies have focused on how such information has been used to develop text messages for mHealth screening programs, especially in resource-poor countries. This study elicited information on barriers and facilitators, the preferences of women regarding the modalities for delivery of health SMS messages on screening for cervical cancer, and demonstrates how this information was used to create a health screening program among women in the Greater Accra Region of Ghana.Entities:
Keywords: Barriers; Cervical cancer; Facilitators; Ghana; Pap smear; SMS text message; Screening; Visual inspection with acetic acid (VIA)
Mesh:
Year: 2022 PMID: 35538476 PMCID: PMC9092690 DOI: 10.1186/s12905-022-01719-9
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.742
Baseline characteristics of survey participants Survey (N = 130)
| Background characteristics | Communities | Banks | Total | % | ||
|---|---|---|---|---|---|---|
| (n = 68) | % | (n = 62) | % | |||
| Mean age in years (sd) | 28.2 (SD: 5.5) | 28.8 (SD: 4.5) | 28.5 (SD: 5.1) | |||
| Ethnicity | ||||||
| Akan | 24 | 35.3 | 34 | 54.8 | 58 | 44.6 |
| Ga/Dangme | 22 | 32.4 | 12 | 19.4 | 34 | 26.2 |
| Ewe | 18 | 26.5 | 14 | 22.6 | 32 | 24.6 |
| Dagbani | 0 | 0 | 0 | 0 | 0 | 0 |
| Dagaari | 0 | 0 | 0 | 0 | 0 | 0 |
| Kasem | 1 | 1.5 | 0 | 0 | 1 | 1 |
| Other (specify) | 3 | 4.4 | 2 | 3.2 | 5 | 3.9 |
| Total | 68 | 100.1 | 62 | 100 | 130 | 100.3 |
| Religion | ||||||
| Christian | 66 | 97.1 | 60 | 96.8 | 126 | 96.9 |
| Islam | 2 | 2.9 | 2 | 3.2 | 4 | 3.1 |
| Traditional | 0 | 0 | 0 | 0 | 0 | 0 |
| None | 0 | 0 | 0 | 0 | 0 | 0 |
| Other (specify) | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 68 | 100 | 62 | 100 | 130 | 100 |
| Marital status | ||||||
| Married | 20 | 29.4 | 28 | 45.2 | 48 | 36.9 |
| Co-habiting | 4 | 5.9 | 0 | 0 | 4 | 3.1 |
| Divorced | 0 | 0 | 0 | 0 | 0 | 0 |
| Separated | 0 | 0 | 0 | 0 | 0 | 0 |
| Single | 44 | 64.7 | 34 | 54.8 | 78 | 60 |
| Widowed | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 68 | 100 | 62 | 100 | 130 | 100 |
| Level of education | ||||||
| Primary/middle/JHS | 28 | 41.2 | 1 | 1.6 | 29 | 22.3 |
| SHS/ O-level / A-level | 19 | 27.9 | 10 | 16.1 | 29 | 22.3 |
| Vocational/technical | 3 | 4.4 | 0 | 0 | 3 | 2.3 |
| Tertiary | 18 | 26.5 | 46 | 74.2 | 64 | 49.2 |
| None | 0 | 0 | 0 | 0 | 0 | 0 |
| Other (specify) | 0 | 0 | 5 | 8.1 | 5 | 3.9 |
| Total | 68 | 100 | 62 | 100 | 130 | 100 |
| Occupation | ||||||
| Public or civil servant | 15 | 22.1 | 62 | 100 | 77 | 59.2 |
| Trading | 22 | 32.4 | 0 | 0 | 22 | 16.9 |
| Artisan | 6 | 8.8 | 0 | 0 | 6 | 4.6 |
| Apprentice | 3 | 4.4 | 0 | 0 | 3 | 2.3 |
| Unemployed | 15 | 22.1 | 0 | 0 | 15 | 11.5 |
| Student | 2 | 2.9 | 0 | 0 | 2 | 1.5 |
| Other (specify) | 5 | 7.4 | 0 | 0 | 5 | 3.9 |
| Total | 68 | 100.1 | 62 | 100 | 130 | 99.9 |
| Access to NHIS* | ||||||
| No NHIS card | 32 | 47.1 | 16 | 25.8 | 48 | 36.9 |
| Have NHIS card | 36 | 52.9 | 46 | 74.2 | 82 | 63.1 |
| Total | 68 | 100 | 62 | 100 | 130 | 100 |
*NHIS National Health Insurance Scheme
Socio-demographics characteristics of participants in the focus group discussions (N = 32)
| Groups-participants(n) | Age range (years) | Number of participants (n) |
|---|---|---|
Service personnel (1) Trader (2) Student (1) Civil/public servant (2) | 21–32 | 6 |
Student (4) Trader (1) Civil/public servant (1) | 22–35 | 6 |
Teacher (3) Student (3) Religious leader (1) | 23–30 | 7 |
Bankers (5) | 24–38 | 5 |
Civil/public servant (4) Midwife (1) Service personnel (3) | 23–32 | 8 |
| Total | 32 | |
Reported knowledge, attitudes, and practices towards cervical cancer and cervical cancer screening (N = 130)
| Characteristics | Communities | Banks | Total | % | Chi-value | |||
|---|---|---|---|---|---|---|---|---|
| No | % | No | % | |||||
| Heard of cervical cancer? | 4.3 | 0.04 | ||||||
| Yes | 45 | 66.2 | 51 | 82.3 | 96 | 73.9 | ||
| No | 23 | 33.8 | 11 | 17.7 | 34 | 26.2 | ||
| Total | 68 | 100 | 62 | 100 | 130 | 100.1 | ||
| Reported knowledge of causes/risk factors | 3.7 | 0.05 | ||||||
| Yes | 11 | 24.4 | 22 | 43.1 | 33 | 34.4 | ||
| No | 34 | 75.6 | 29 | 56.9 | 63 | 65.6 | ||
| Total | 45 | 100 | 51 | 100 | 96 | 100 | ||
| Reported knowledge cervical cancer prevention | 0.0637 | 0.801 | ||||||
| Yes | 17 | 37.8 | 18 | 35.3 | 35 | 36.5 | ||
| No | 28 | 62.2 | 33 | 64.7 | 61 | 63.5 | ||
| Total | 45 | 100 | 51 | 100 | 96 | 100 | ||
| Heard of pap smear or VIA test? | 2.96 | 0.086 | ||||||
| Yes | 13 | 19.1 | 20 | 32.3 | 33 | 25.4 | ||
| No | 55 | 80.9 | 42 | 67.7 | 97 | 74.6 | ||
| Total | 68 | 100 | 62 | 100 | 130 | 100 | ||
| Necessary to go for pap smear or VIA test? | 0.723* | |||||||
| Yes | 11 | 84.6 | 18 | 90 | 29 | 87.9 | ||
| No | 0 | 0 | 1 | 5 | 1 | 3 | ||
| Do Not Know | 2 | 15.4 | 1 | 5 | 3 | 9.1 | ||
| Total | 13 | 100 | 20 | 100 | 33 | 100 | ||
| Intend to do pap smear or VIA test? | 0.266* | |||||||
| Yes | 8 | 61.5 | 17 | 85 | 25 | 75.8 | ||
| No | 2 | 15.4 | 2 | 10 | 4 | 12.1 | ||
| Undecided | 3 | 23.1 | 1 | 5 | 4 | 12.1 | ||
| Total | 100 | 20 | 100 | 33 | 100 | |||
| Knowledge of place to do pap smear or VIA test? | 0.659* | |||||||
| Yes | 10 | 76.9 | 17 | 85 | 27 | 81.8 | ||
| No | 3 | 23.1 | 3 | 15 | 6 | 18.2 | ||
| Total | 13 | 100 | 20 | 100 | 33 | 100 | ||
| Knowledge of cost of pap smear or VIA test? | 1.000* | |||||||
| Yes | 3 | 23.1 | 4 | 20 | 7 | 21.2 | ||
| No | 10 | 76.9 | 16 | 80 | 26 | 78.8 | ||
*Fischer's Exact test
Source of information on cervical cancer testing methods (N = 33)
| Location | Freq | Percent |
|---|---|---|
| Health facility (HF) | 11 | 33.3 |
| Pharmacy/drugs store | 1 | 3.0 |
| Church/mosque | 4 | 12.1 |
| School | 1 | 3.0 |
| Mass media | 9 | 27.3 |
| Family/friends | 2 | 6.1 |
| HF and school | 1 | 3.0 |
| HF and mass media | 1 | 3.0 |
| HF and family/friend | 2 | 6.1 |
| Other (can’t remember) | 1 | 3.0 |
| Total | 33 | 100.0 |
Facilitators of cervical cancer screening tests (N = 33)
| Characteristic | Freq | Percent |
|---|---|---|
| Family history | 1 | 3.0 |
| Doctor’s recommendation | 3 | 9.1 |
| Cervical awareness education | 12 | 36.4 |
| Cervical awareness education and showing signs and symptoms of the disease | 1 | 3.0 |
| Cervical awareness and having multiple sexual partners | 1 | 3.0 |
| High income | 1 | 3.0 |
| Showing signs and symptoms | 2 | 6.1 |
| Availability of time | 1 | 3.0 |
| Multiple sexual partners | 1 | 3.0 |
| To know my status | 6 | 18.2 |
| Others | 4 | 12.1 |
| Total | 33 | 100.0 |
Barriers to cervical cancer screening uptake among women in the study (N = 33)
| Barrier | Freq | Percent |
|---|---|---|
| Low-income level | 7 | 21.2 |
| Lack of time | 4 | 12.1 |
| Fear of screening procedure | 3 | 9.1 |
| Fear of cancer | 3 | 9.1 |
| Low-income level and lack of time | 2 | 6.1 |
| Low education on cervical awareness | 2 | 6.1 |
| Fear of screening outcome | 2 | 6.1 |
| Low-income level and fear of cancer | 1 | 3.0 |
| Low education on cervical awareness and fear of screening procedure | 1 | 3.0 |
| Lack of service providers and fear of screening procedure | 1 | 3.0 |
| Other reasons | 7 | 21.2 |
| Total | 33 | 100.0 |
Attitudes and practices related to the use of mobile phone and text messages (N = 130)
| Characteristics | Communities | Banks | Total | % | Chi-value | |||
|---|---|---|---|---|---|---|---|---|
| No | % | No | % | |||||
| Receives text message | 0.004 | 1.000* | ||||||
| Yes | 67 | 98.5 | 61 | 98.4 | 128 | 98.5 | ||
| No | 1 | 1.5 | 1 | 1.6 | 2 | 1.5 | ||
| Total | 68 | 100 | 62 | 100 | 130 | 100 | ||
| Normally reads text messages | 2.747 | 0.246* | ||||||
| Yes | 64 | 95.5 | 61 | 100 | 125 | 97.7 | ||
| No | 3 | 4.5 | 0 | 0 | 3 | 2.3 | ||
| Total | 67 | 100 | 61 | 100 | 128 | 100 | ||
| Ever received text messages on health-related topics | 5.381 | 0.072* | ||||||
| Yes | 36 | 52.9 | 43 | 69.4 | 79 | 60.8 | ||
| No | 26 | 38.2 | 18 | 29 | 44 | 33.9 | ||
| Can't remember | 6 | 8.8 | 1 | 1.6 | 7 | 5.4 | ||
| Total | 68 | 100 | 62 | 100 | 130 | 100 | ||
| Willingness to receive test message on CC testing | 1.105 | 0.477* | ||||||
| Yes | 68 | 100 | 61 | 98.4 | 129 | 99.2 | ||
| No | 0 | 0 | 1 | 1.6 | 1 | 0.8 | ||
| Total | 68 | 100 | 62 | 100 | 130 | 100 | ||
| Willingness to go for CC screening upon receipt of test messages | 6.746 | 0.029* | ||||||
| Yes | 62 | 91.2 | 61 | 94.4 | 123 | 94.6 | ||
| No | 0 | 0 | 1 | 1.6 | 1 | 0.77 | ||
| Undecided | 6 | 8.8 | 0 | 0 | 6 | 4.6 | ||
| Total | 68 | 100 | 62 | 100 | 130 | 100 | ||
| Preferred time of day to receive text messages on CC | 14.22 | 0.010* | ||||||
| Morning | 11 | 16.2 | 13 | 21 | 24 | 18.6 | ||
| Afternoon | 4 | 5.9 | 5 | 8.1 | 9 | 6.9 | ||
| Evening | 6 | 8.8 | 18 | 29 | 24 | 18.6 | ||
| Night | 2 | 2.9 | 2 | 3.2 | 4 | 3.1 | ||
| Anytime | 38 | 55.9 | 23 | 37.1 | 61 | 46.9 | ||
| No suggestion | 7 | 10.3 | 1 | 1.6 | 8 | 6.2 | ||
| Total | 68 | 100 | 68 | 62 | 130 | 100 | ||
| Preferred duration of text messages | 1.053 | 0.907* | ||||||
| Less than 1 month | 6 | 8.8 | 4 | 6.5 | 10 | 7.7 | ||
| 1 month | 22 | 32.4 | 17 | 27.4 | 39 | 30 | ||
| 2 months | 3 | 4.4 | 2 | 3.2 | 5 | 3.9 | ||
| More than 2 months | 22 | 32.4 | 24 | 38.7 | 46 | 35.4 | ||
| No suggestion | 15 | 22.1 | 15 | 24.2 | 30 | 23.1 | ||
| Total | 68 | 100.0 | 62 | 100 | 130 | 100.0 | ||
| Frequency of text messages per day desired | 10.321 | 0.036* | ||||||
| Once | 21 | 30.9 | 34 | 54.8 | 55 | 42.3 | ||
| Twice | 24 | 35.3 | 16 | 25.8 | 40 | 30.8 | ||
| Thrice | 6 | 8.8 | 1 | 1.6 | 7 | 5.4 | ||
| More than thrice | 8 | 11.8 | 3 | 4.8 | 11 | 8.5 | ||
| No suggestion | 9 | 13.2 | 8 | 12.9 | 17 | 13.1 | ||
| Total | 68 | 100 | 62 | 99.9 | 130 | 100.0 | ||
| Total | 68 | 100 | 62 | 100.0 | 130 | 100.0 | ||
*Fischer's exact
Opinions of respondents on the 32 SMS messages: results from pre-testing of SMS messages (N = 8)
| Variable | Frequency | |
|---|---|---|
| (N-8) | Percent | |
| Willingness to receive SMS reminders on CC screening from national non-communicable diseases control program | ||
| Yes | 7 | 87.5 |
| No | 1 | 12.5 |
| Total | 8 | 100 |
| Time of day when text messages are read | ||
| During working hours | 2 | 25.0 |
| After close of work | 6 | 75.0 |
| Appropriateness of timing of messages | ||
| Yes | 7 | 87.5 |
| No | 1 | 12.5 |
| Total | 8 | 100 |
| Adequacy of text volume | ||
| Yes | 8 | 100 |
| Total | 8 | 100 |
| Willingness to receive SMS messages on phones from the Non-Communicable Disease Program | ||
| Yes | 7 | 87.5 |
| No | 1 | 12.5 |
| Total | 8 | 100 |
| Challenges with the mobile network during working hours | ||
| Yes | 1 | 12.5 |
| No | 7 | 87.5 |
| Total | 8 | 100 |